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ThreatFox: ACR Stealer IOCs

ioc-hunt HIGH ThreatFox
DnsEvents
infostealeriocthreatfoxwin-acr_stealer
This rule was pulled from an open-source repository and enriched with AI. Validate in a test environment before deploying to production.
View original rule at ThreatFox →
Retrieved: 2026-07-13T11:00:00Z · Confidence: high

Hunt Hypothesis

This hunt targets adversary behavior where threat actors deploy the ACR Stealer malware to exfiltrate sensitive credentials and data from Azure environments using three specific indicators of compromise. Proactively hunting for these IOCs in Azure Sentinel is critical because early detection of this high-severity stealer can prevent lateral movement and significant data loss before the adversary establishes persistence.

IOC Summary

Malware Family: ACR Stealer Total IOCs: 3 IOC Types: domain

TypeValueThreat TypeFirst SeenConfidence
domaindl.connectivityplatform.ccbotnet_cc2026-07-13100%
domainauth.predatordeuce.ccbotnet_cc2026-07-13100%
domainpredatordeuce.ccbotnet_cc2026-07-13100%

KQL: Domain Hunt

// Hunt for DNS queries to known malicious domains
// Source: ThreatFox - ACR Stealer
let malicious_domains = dynamic(["dl.connectivityplatform.cc", "auth.predatordeuce.cc", "predatordeuce.cc"]);
DnsEvents
| where Name has_any (malicious_domains)
| project TimeGenerated, Computer, Name, IPAddresses, QueryType
| order by TimeGenerated desc

Required Data Sources

Sentinel TableNotes
DnsEventsEnsure this data connector is enabled

References

False Positive Guidance

Here are four specific false positive scenarios for the ThreatFox: ACR Stealer IOCs detection rule in an enterprise environment, along with suggested filters or exclusions:

Original source: https://threatfox.abuse.ch/browse/malware/win.acr_stealer/